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Detection of Biological CO2 and 1,3-Pentadiene Using Non-refrigerated Low-Cost MWIR Detectors

Food Analytical Methods volume 9, pages 1451–1460 (2016)Cite this article

Abstract

The early detection of spoiling metabolic products in contaminated food is a very important tool to control quality. Some volatile compounds produce unpleasant odours at very low concentrations, making their early detection very challenging. This is the case of 1,3-pentadiene produced by microorganisms through decarboxylation of the preservative sorbate. In this work, we have developed a methodology to use the data produced by a low-cost, compact MWIR (Mid-Wave IR) spectrometry device without moving parts, which is based on a linear array of 128 elements of VPD PbSe coupled to a linear variable filter (LVF) working in the spectral range between 3 and 4.6 μm. This device is able to analyze food headspace gases through dedicated sample presentation setup. This methodology enables the detection of CO2 and the volatile compound 1,3-pentadiene, as compared to synthetic patrons. Data analysis is based on an automated multidimensional dynamic processing of the MWIR spectra. Principal component and discriminant analysis allow segregating between four yeast strains including producers and no producers. The segregation power is accounted as a measure of the discrimination quality.

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Acknowledgments

This work was funded by the project (GR3/14-910644) from Complutense University of Madrid and Santander-Hispano. Research by Eva María Rivas has been supported by a PICATA predoctoral fellowship of the Moncloa Campus of International Excellence (UCM-UPM). Research by María Maldonado has been supported by a PICATA technical support staff for scientific infrastructure of the Moncloa Campus of International Excellence (UCM-UPM). The authors want to thank Raúl Gutierrez Álvarez of New Infrared Technologies Ltd. for its help with the computer support.

Compliance with Ethical Standards

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Conflict of Interest

Eva Mª Rivas declares that she has no conflict of interest. María Maldonado declares that she has no conflict of interest. Belén Diezma declares that she has no conflict of interest. Petra Wrent declares that she has no conflict of interest. José M. Peinado declares that he has no conflict of interest. María-Isabel de Silóniz declares that she has no conflict of interest. Germán Vergara declares that he has no conflict of interest. Javier García-Hierro declares that he has no conflict of interest. José Ignacio Robla declares that he has no conflict of interest. Pilar Barreiro declares that she has no conflict of interest.

Ethical Approval

This article does not contain any studies with human participants or animals performed by any of the authors.

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Authors and Affiliations

  1. CEI Campus Moncloa, UCM-UPM, Madrid, Spain

    Eva-María Rivas, María Maldonado, Belen Diezma, Petra Wrent, José M. Peinado, María-Isabel de Silóniz & Pilar Barreiro

  2. Department of Microbiology III, Faculty of Biology, Complutense University of Madrid, C/ José Antonio Nováis, 2, 28040, Madrid, Spain

    Eva-María Rivas, Petra Wrent, José M. Peinado & María-Isabel de Silóniz

  3. LPF_TAGRALIA, Department of Agricultural Engineering Technical, Polytechnic University of Madrid, Avda. Complutense s/n, 28040, Madrid, Spain

    Belen Diezma & Pilar Barreiro

  4. VISAVET, Complutense University of Madrid, Av. Puerta de Hierro, s/n, 28040, Madrid, Spain

    María Maldonado

  5. New Infrared Technologies, Ltd. C/ Vidrieros, 30, Boadilla del Monte, 28660, Madrid, Spain

    Germán Vergara

  6. Department of Primary Metalurgy and Recycling, National Centre for Metallurgical Research (CENIM), CSIC, Avda. Gregorio del Amo 8, 28040, Madrid, Spain

    Javier García-Hierro & José Ignacio Robla

Authors
  1. Eva-María Rivas
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  2. María Maldonado
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  3. Belen Diezma
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  4. Petra Wrent
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  5. José M. Peinado
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  6. María-Isabel de Silóniz
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  7. Germán Vergara
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  8. Javier García-Hierro
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  9. José Ignacio Robla
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  10. Pilar Barreiro
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Correspondence to Eva-María Rivas.

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Rivas, EM., Maldonado, M., Diezma, B. et al. Detection of Biological CO2 and 1,3-Pentadiene Using Non-refrigerated Low-Cost MWIR Detectors. Food Anal. Methods 9, 1451–1460 (2016). https://doi.org/10.1007/s12161-015-0320-6

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